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How has the generative artificial intelligence (ai) in real estate market evolved, and where is it heading next?
The generative artificial intelligence (AI) in real estate market size has grown exponentially in recent years. It will grow from $0.59 billion in 2024 to $0.77 billion in 2025 at a compound annual growth rate (CAGR) of 30.7%. The growth in the historic period can be attributed to rise in urbanization, increasing demand for personalized property, growth in adoption of smart building technologies, growth in data availability, and growth in investments in AI research and development.
The generative artificial intelligence (AI) in real estate market size is expected to see exponential growth in the next few years. It will grow to $2.23 billion in 2029 at a compound annual growth rate (CAGR) of 30.4%. The growth in the forecast period can be attributed to growing demand for new construction, increasing disposable income, growing number of proptech startups, increasing demand for platforms, and growing demand for personalization. Major trends in the forecast period include technological advancements, smart home integration, property security systems, augmented reality, and virtual tours.
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What are the key drivers behind the rapid expansion of the generative artificial intelligence (ai) in real estate market?
The growing demand for new constructions is expected to propel the growth of the generative artificial intelligence (AI) in real estate market going forward. New constructions are on the rise due to population growth, urbanization, and the need for updated infrastructure and housing to accommodate changing lifestyles and economic conditions. Generative AI in real estate helps construction by optimizing building designs, automating planning processes, and predicting material needs, leading to more efficient and cost-effective project management. For instance, in February 2023, according to the Office for National Statistics, a UK-based statistics authority, annual construction output grew by 5.6% in 2022 compared to 2021, following a record increase of 12.8% in 2021. Therefore, the growing demand for new constructions is driving the growth of the generative artificial intelligence (AI) in real estate market.
What is the segmentation for the generative artificial intelligence (ai) in real estate market?
The generative artificial intelligence (AI) in real estate market covered in this report is segmented –
1) By Component: Services; Software Tools; Platforms
2) By Deployment Mode: Cloud-Based; On-Premises
3) By Application: Property Valuation; Building Design; Predictive Maintenance; Energy Management; Other Applications
4) By End-User: Real Estate Agents; Property Managers; Architects; Engineers; Other End-Users
Subsegments:
1) By Services: Consulting Services; Integration Services; Support and Maintenance Services; Data Analytics Services
2) By Software Tools: AI-Powered Property Valuation Tools; Predictive Analytics Software For Market Trends; AI-Based Investment Tools; Virtual Property Tours And Visualization Tools
3) By Platforms: AI-Driven Real Estate Platforms; Cloud-Based Property Management Platforms; AI-Based Real Estate Marketplaces; Real Estate CRM Platforms With AI Integration
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Who are the most influential companies in the generative artificial intelligence (ai) in real estate market?
Major companies operating in the generative artificial intelligence (AI) in real estate market areCompass Inc., Rocket Companies, Autodesk Inc., Zillow Group Inc., Yardi Systems Inc., Redfin Corporation, C3.ai Inc., DataRobot Inc., Keller Williams Realty Inc., Matterport Inc., H2O.ai Inc., Matellio Inc., Rex Real Estate Exchange Inc., LocalizeOS Inc., HouseCanary Inc., Hyro Inc., BigOhTech Inc., Roof Ai Inc., RisingMax Inc., SmartZip Analytics Inc., Entera Inc.
What are the most influential trends expected to drive the generative artificial intelligence (ai) in real estate market forward?
Major companies operating in the generative artificial intelligence (AI) in real estate market are developing generative AI-powered real estate assistants, to enhance property valuation accuracy, streamline transaction processes, and improve customer engagement. A generative AI-powered real estate assistant refers to an advanced digital tool designed to assist with various tasks in the real estate industry using artificial intelligence (AI) technologies. For instance, in June 2024, Keller Williams Realty Inc., a US-based real estate company, launched KWIQ, a generative AI-powered real estate assistant. It aims to boost the productivity and efficiency of real estate agents by offering a variety of tools and features. KWIQ assists agents in drafting various types of content, such as newsletters, social media posts, and listing descriptions, thereby streamlining their marketing efforts. It is intended to empower agents to work smarter and more effectively and enhance their ability to serve clients.
What are the major regional insights for the generative artificial intelligence (ai) in real estate market, and which region holds the top position?
North America was the largest region in the generative artificial intelligence (AI) in real estate market in 2024. The regions covered in the generative artificial intelligence (AI) in real estate market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
What Does The Generative Artificial Intelligence (AI) In Real Estate Market Report 2025 Offer?
The generative artificial intelligence (ai) in real estate market research report from The Business Research Company offers global market size, growth rate, regional shares, competitor analysis, detailed segments, trends, and opportunities.
Generative artificial intelligence (AI) in real estate refers to the use of artificial intelligence technologies to create, analyze, and optimize real estate data and processes. Generative AI in real estate utilizes advanced algorithms to create accurate property valuations, design innovative architectural plans, forecast market trends, and offer personalized property recommendations, thereby enhancing decision-making and operational efficiency in the industry.
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